Security Scan Report: matthewsasakifp.pages.dev

Submitted: Mar 13, 2026, 3:07:39 PMCompleted: Mar 13, 2026, 3:09:00 PMpubliccompleted
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Summary

This website contacted 17 IPs in 3 countries across 17 domains to perform 51 HTTP transactions. The main domain is matthewsasakifp.pages.dev and was registered NaN years ago.

Submitted URL: https://matthewsasakifp.pages.dev/koim-social-security-max-2025-contribution-chart-images-references-gfctz

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 403 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

Social Security Max 2025 Contribution Chart Images References : - Matthew Sasaki F.P

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(35%)

Domain Information

Domain 'matthewsasakifp.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'matthewsasakifp'. Count 5 characters in 'pages' holding 2 vowels versus three consonants. Tokenizing the label suggests 1 word: pages. Median word length is five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://matthewsasakifp.pages.dev/koim-social-security-max-2025-contribution-chart-images-references-gfctz

Page Load Overview

3.57s
Total Load Time
48
HTTP Requests
18
Domains
2.1 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en-US
Text Length:2,364 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate35% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

corporate
35%
adult content
32%

Detected Features

Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1652.57.221.121Frankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
2172.217.20.138United States
AS15169Google LLC
2172.234.28.30Chicago, Illinois, United States
AS63949Akamai Connected Cloud
2150.171.28.10United States
AS8075Microsoft Corporation
2172.66.169.241United States
AS13335Cloudflare, Inc.
2172.66.47.193United States
AS13335Cloudflare, Inc.
247.128.182.141Singapore, Singapore
AS16509Amazon.com, Inc.
2104.21.76.185United States
AS13335Cloudflare, Inc.
2134.209.45.143Clifton, New Jersey, United States
AS14061DigitalOcean, LLC
2141.101.90.97United States
AS13335Cloudflare, Inc.
4817--

Detected Technologies13

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T185E2FA3190A950772B9F93ECA4A6732CB998F616CB028B7171F871549BC8DF700B365E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:1SzNUXdaZdapNfzcK5xP1H5Ia46b6xYE+YG+Zs:1SzEdiappIK5xP1ZIa46GxYE+YG+G

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:34151:wJCwSRBEDp6GQDk4nAANBzbocOFi9EIGoE2BEB9FABECIyWjToIBgDRAGACimHEACU2SK3EkEJAgcJNgiEQ6jcHwEhBQGg5o

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:dfe7ffff3fff0000
Perceptual Hash:baa578875af1d700
Difference Hash:13078a0565799ba5
Wavelet Hash:8183ffff3f1f0000
Color Hash:#6240bf

Scan History

Scan history not available

Unable to load historical scan data